51 lines
1.5 KiB
Docker
51 lines
1.5 KiB
Docker
# Llama 4 Scout / Maverick on Iluvatar BI-V150
|
||
#
|
||
# 一个镜像同时支持：
|
||
# - Llama-4-Scout-17B-16E-Instruct（BF16，TP8，8 卡）
|
||
# - Llama-4-Maverick-17B-128E-Instruct-FP8（FP8，TP8+PP2，16 卡）
|
||
#
|
||
# 模型权重不打进镜像，运行时按 run.sh 的 scout / maverick 预设挂载。
|
||
#
|
||
# 构建：
|
||
# docker build -t llama4-bi150:2026-10-26 .
|
||
#
|
||
# 运行：
|
||
# ./run.sh scout
|
||
# ./run.sh maverick
|
||
#
|
||
# 补丁是针对下面这个精确基础镜像生成的；换基础镜像需要重新生成 diff。
|
||
# registry.iluvatar.com.cn:10443/customer/sz/vllm0.17.0-4.4.0-x86:v7
|
||
# (vLLM 0.17.0+corex.20260612070235)
|
||
|
||
FROM registry.iluvatar.com.cn:10443/customer/sz/vllm0.17.0-4.4.0-x86:v7
|
||
|
||
ARG IMAGE_VERSION=2026-10-26
|
||
|
||
LABEL org.opencontainers.image.title="llama4-bi150" \
|
||
org.opencontainers.image.description="Llama 4 Scout / Maverick on Iluvatar BI-V150 with vLLM 0.17.0+corex" \
|
||
org.opencontainers.image.version="${IMAGE_VERSION}"
|
||
|
||
COPY patches /opt/llama4/patches
|
||
COPY apply_patch.py /opt/llama4/apply_patch.py
|
||
COPY entrypoint.sh /usr/local/bin/llama4-entrypoint.sh
|
||
|
||
RUN chmod +x /usr/local/bin/llama4-entrypoint.sh \
|
||
&& python3 /opt/llama4/apply_patch.py
|
||
|
||
ENV MODEL_PATH=/models/llama4 \
|
||
SERVED_NAME=llama4 \
|
||
HOST=0.0.0.0 \
|
||
PORT=8091 \
|
||
TP=8 \
|
||
PP=1 \
|
||
MAX_MODEL_LEN=4096 \
|
||
MAX_NUM_SEQS=1 \
|
||
GPU_MEM_UTIL=0.90 \
|
||
ENFORCE_EAGER=1 \
|
||
PYTHONUNBUFFERED=1
|
||
|
||
WORKDIR /opt/llama4
|
||
EXPOSE 8091 8092
|
||
|
||
ENTRYPOINT ["/usr/local/bin/llama4-entrypoint.sh"]
|